Over the past decade, there has been a rapid increase in applications of multibody system
dynamics to the predictive simulation of human movement. Using predictive “what-if” human …

The rapid introduction of sophisticated computers, services, telecommunications systems,
and manufacturing systems has caused a major shift in the way people use and work with …

An optimization-based formulation and solution method are presented to predict asymmetric
human gait for a large-scale skeletal model. Predictive dynamics approach is used in which …

Manipulators are increasingly used in industry to improve efficiency in jobs that require
precision, long duration, and repetitive work. This research was conducted on a laboratory …

In this study, we derive sensitivity equations for the problem of optimization-based motion
prediction of a mechanical system using the inverse recursive Lagrangian formulation. The …

Wearable robots, sometimes known as exoskeletons, are incredible devices for improving
human strength, reducing fatigue, and restoring impaired mobility. The control of powered …

by Page 1 ()PTIMIZATION-BASED DYNAMIC HUMAN WALKING PREDICTION by Yujiang Xiang
A thesis submitted in partial fulfillment of the requirements for the Doctor of Philosophy degree …

In this paper an optimization-based hybrid dynamic motion prediction method is presented.
The method is hybrid as the prediction relies both on actually performed motions for …

Exoskeletons have the ability to aid humans in physically demanding and injury-prone
activities, such as lifting loads while squatting. However, despite their immense potential, the …

This thesis presents the kinematic and dynamic study of human motion by means of
multibody system dynamics techniques. For this purpose, two biomechanical models are …